I'm a mechanical engineer with an additional degree in entrepreneurial business. I want to use automation to make a stellar-ready post-scarcity society.
Cerebras x @IBM : Partnering to help enterprises accelerate AI adoption without compromise.
Businesses shouldn’t have to choose between bleeding-edge AI performance and enterprise-grade reliability.
It’s no longer enough for AI to be powerful, it also has to be practical, efficient, and trustworthy at enterprise scale.
That’s exactly why we’re working with IBM and @IBMwatsonx
I wish Google Maps had a setting to only start talking halfway through the trip. I don't need the voice interrupting my tunes to tell me how to leave my house and get on the freeway.
Today, Cerebras proudly joins the AI Alliance as a founding member alongside @IBM, @Meta, @AMD, @NASA, @NSF, @CERN, and more.
This continues our commitment to open innovation, governance, and AI for good.
If you want to go far, go together.
🚀 Read: https://t.co/TvF3tj6F0p
(1/3) Cerebras, G42's Inception, and MBZUAI are pleased to announce Jais, the world’s best-performing Arabic LLM. Jais is a 13B parameter model that was trained on a new 395 billion token Arabic-English-Code dataset. Jais brings the power of Generative AI to 400m Arabic speakers
📣 Today we are announcing Condor Galaxy-1: a 4 exaflop AI supercomputer built in partnership with @G42ai. Powered by 64 Cerebras CS-2 systems, 54M cores, and 82TB of memory – it's the largest AI supercomputer we've ever built. But that's not all: CG-1 is just the start..
Cerebras is now the leading AI hardware startup as measured by research paper citations! Cerebras-GPT is just the start – we have so much cool research that we can't wait to share with you all. Stay tuned!
h/t: @nathanbenaich
🎉 Exciting news! Today we are releasing Cerebras-GPT, a family of 7 GPT models from 111M to 13B parameters trained using the Chinchilla formula. These are the highest accuracy models for a compute budget and are available today open-source! (1/5)
Press: https://t.co/Ltw02PjDQF
(1/3) Our sparsity research is now publicly available on arxiv (https://t.co/HBzE2Y7gKP) and has been accepted into the ICLR 2023 Sparsity in Neural Networks (@sparsenn) workshop! (1/3)
Its pretty cool when your product becomes the face of large scale international AI computing. Here is a picture of the @Cerebras Andromeda super cluster ...for those interested--16x Cerebras CS-2s, 13.6 Million AI cores...
With the nascent generative #AI market propelling demand for compatible hardware and software to new heights, it’s a good time to be a startup, our CEO @andrewdfeldman tells @WSJTech. Read more about the surge in demand here: https://t.co/HO3FOKi7ZF
@EllieTheHare There are an average of 4 derailments per day. Most are single car problems, but some are larger. Last year there were 11 train accidents that spilled hazardous chemicals. https://t.co/nyxmRTUOiP